Stop wasting time manually writing docstrings and renaming variables. In this hands-on codelab, you will build a "Self-Healing Codebase" agent that acts as a real-time partner in your development environment.

You’ll learn how to bridge the gap between local development and cloud-based AI by using Python to watch for file changes and Relevance AI to perform complex code reasoning.

What you will build:

1. A custom Relevance AI Tool that understands messy, "spaghetti" code.
2. An event-driven Python worker that monitors your directory.
3. A workflow that automatically refactors code, adds professional documentation, and renames variables for clarity—all triggered by a simple comment.

Key concepts you'll master:

1. Agentic Workflows: Moving beyond chatbots to autonomous workers.
2. File-System Watchers: Using Python's watchdog to trigger AI tasks.
3. Prompt Engineering for Code: Crafting instructions that ensure the AI returns clean, executable scripts without conversational filler.